sar-denoising

视频中运动的放大，欧拉运动放大,包含事例视频，以及代码使用方法。(Enlarge video motion, Euler motion amplification, contains examples of video, as well as the code to use.)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 (P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform method to enhance the contrast of the image P0304: histogram equalization P0305: Simulation images by white Gaussian noise and salt and pepper noise P0306: 2D median filtering function medfilt2 right by Salt and Pepper image noise filtering P0307: using MATLAB functions filter2 of noise images mean filtering P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: Images of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothing P0312: use Butterworth ( Butterworth) high-pass filter for image sharpening)

detection different object in video an moves with high accuracy

说明：  simulation code matlab NOMA

粘连字符切分，带测试图片，效果不错 (Adhesion character segmentation, with test images, good results)

基于混沌理论和量化方法实现一种针对灰度图像的鲁棒水印算法。(Based on chaos theory and quantitative methods to achieve a robust watermarking algorithm for grayscale images.)

分形图像压缩 效果好 但是运行时间长 需要改进(Fractal image compression effective running a long time but need to improve)

可评价影像融合质量，信息熵、标准差、相关系数等(Evaluable image fusion quality, information entropy, etc.)

基于MATLAB图像处理的车辆检测与识别（可以看看）基于MATLAB图像处理的车辆检测与识别（可以看看(MATLAB image processing based vehicle detection and recognition (can see) MATLAB image processing based vehicle detection and recognition (can see)

低信噪比下周期平稳信号的稳健检测算法，希望对大家有用(Robust detection algorithms low SNR cycle stationary signals)